eval_metrics for seed1 TIA-on onnx

eval_metrics.json

@@ -1,10 +1,23 @@
 {
-  "validation": {
-    "acc": 0.9661,
-    "norm_edit_dis": 0.9957
+  "note": "rec_model.onnx = seed1 TIA-on retrain (DOK run_final_retrain, de-leaked train222/val95). paddle pdparams/inference are the PRIOR stable (not updated). dict (inference.yml) identical.",
+  "recipe": {
+    "reconaug": true,
+    "jitter": true,
+    "lr": 0.0005,
+    "warmup_epoch": 2,
+    "epoch_num": 80,
+    "batch_size": 128,
+    "tia_prob": 0.4,
+    "global_seed": 1
   },
-  "test": {
-    "acc": 0.9048,
-    "norm_edit_dis": 0.9659
-  }
-}
+  "clean_val": {
+    "raw_code_recall": 55.94,
+    "matched_code_recall": 56.64
+  },
+  "e2e_test_with_cleaned_det": {
+    "raw_code_recall": 61.54,
+    "matched_code_recall": 61.54,
+    "matched_precision": 58.54
+  },
+  "tia_value": "+4.9pt paired (n=3 seeds) vs TIA-off; see docs/experiments/rec_speedup_brainstorm_20260601.md"
+}